Epoch Artificial Intelligence Inc
Nonprofit profile at a glance
- EIN
- 994050541
- IRS 990-EZ coverage
- 2024–2024
- Forms available
- Form 990-EZ 2024
- Location
- San Francisco, CA, USA
- Phone
- 4847390991
- Rating
- 71
- Verdict
- SUPPORTED
- Rating confidence
- Moderate
- Sector
- Computer Science
Reported finances
- Revenue
- $180,010
- Expenses
- $84,231
- Assets
- $95,779
- Liabilities
- $0
Source: IRS Form 990-EZ. Selected filing: tax year 2024. Amounts in USD.
Leadership & pay
4 people listed
Executive titles in this filing
- Tamay Besiroglu (President)
- Thomas Davidson (Vice President)
People named in this filing
- Tamay Besiroglu (President)
- Thomas Davidson (Vice President)
- Jaime Sevilla Molina (Treasurer)
Selected names, not a complete roster or a statement of current roles. Open leadership details for the complete filed list.
Source: IRS Form 990-EZ. Selected filing: tax year 2024. Names and roles reflect this filing, not necessarily current officeholders.
Overview
Mission
Epoch AI advances understanding of the development, progress, and scaling of artificial intelligence through research, data analysis, and public education. Our mission is to produce rigorous, data-driven insights on long-term AI trends to support the safe and beneficial deployment of advanced AI technologies.Epoch AI conducts and publishes research on the history of AI progress, forecasting models, scaling laws, and the economics of AI development. We share our findings openly to inform researchers, policymakers, and the public, with the goal of improving decision-making and fostering responsible AI governance.All activities are educational and scientific in nature, and most research outputs are made freely available to maximize transparency, knowledge sharing, and public benefit.
What it reported doing in 2024
Published Research on AI Progress and Scaling Trends: Epoch AI conducted and published original research analyzing trends in artificial intelligence system development, including studies on training compute, algorithmic efficiency, scaling laws, and benchmarking model capabilities. These research outputs contribute to the global understanding of AI progress and are made freely available through Epoch AI's website and other public platforms.
Operating model
- Revenue model
- Mixed. Its operating money came from several sources; no one source provided a clear majority.
- Distribution model
- Direct operator. The filing allocates 100% of reported program-service expenses outside its grant, affiliate-payment, and member-benefit lines. This expense classification does not rule out separately announced grant awards.
The verdict
SUPPORTED - The filed numbers largely add up and revenue comfortably covers expenses. A relatively small share of available resources goes toward mission work.
Rating breakdown
- Financial Efficiency: 54
- Transparency & Controls: 100
- Sustainability: 79
- Growth: NotEnoughData
Detailed rating inputs
Financial Efficiency
- Mission deployment rate: 37.8%; rating input score 38
- Program expense ratio: 80.8%; rating input score 81
Transparency & Controls
- Consistency checks: 100%; rating input score 100; 52nd percentile among comparable filings
- Major donor itemization: Yes; rating input score 100
Sustainability
- Operating margin: 53.2%; rating input score 94; 94th percentile among comparable filings
- Total-asset coverage ratio: 1.14; rating input score 64; 64th percentile among comparable filings
- Liabilities to assets ratio: 0; rating input score 76; 76th percentile among comparable filings
- Officer compensation ratio: 0%; rating input score 63; 63rd percentile among comparable filings
Growth
- Program expense growth: Limited
- Revenue growth: Limited
- Asset growth: Limited
Details
- Where the money goes: 37.8% of revenue deployed · 80.8% of spending went to programs
- Governance: Filed governance answers
- Accomplishments: 1 filed program accomplishment · $68K in reported program spending
- Leadership: top reported pay $0 · 4 people listed
- Consistency: 8 of 8 current checks pass
- Schedules: 3 filed schedules
- Contacts: How to reach this organization
- Money network: Resolved incoming and outgoing counterparties from filed money flows.
- Related organizations: Filed and resolved organization relationships.
- Grant readiness: Federal tax and exclusion status, award history, and grant-maker relationships.
- People: Everyone the filings name, and which of them the filings identify by more than a name.
Key Signals
Signals prioritize questions for review. They are not findings of misconduct.
- Moderate — Financial Efficiency: Mission deployment rate scored 38/100.